Agentic AI Engineer
YASH Technologies (company site, opens in a new tab)3+ yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy agentic AI architectures and multi-agent systems using LLMs and modern foundation models.
- Create and integrate AI agent workflows including prompt engineering, RAG pipelines, memory systems, and tool/API integrations ensuring production readiness with monitoring and safety guardrails.
- Act as technical product owner collaborating with stakeholders to translate business needs into scalable AI solutions and lead tooling, architecture, and delivery decisions.
Minimum Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or equivalent.
- 3+ years of professional software development experience.
- Strong proficiency in Python; hands-on experience with LLM APIs and multi-component platforms (MCP).
- Experience with prompt engineering, embeddings, semantic search, RAG, API/backend design, cloud platforms (Azure, AWS, or GCP), and production AI system integration.
Ideal Candidate Profile
- Experienced in designing and operationalizing scalable AI agents and LLM-based applications in production environments.
- Technically strong in Python and AI system integration with clear understanding of prompt engineering, RAG, and vector-based memory.
- Capable of managing cross-functional technical product ownership including translating user/business requirements into AI solutions with pragmatic build/buy decision-making.